Bibliographic citations
Palpa, J., (2017). Aplicación de la metodología Lean Six Sigma para mejorar el proceso de programación y despacho en una empresa comercializadora de concreto premezclado [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/14762
Palpa, J., Aplicación de la metodología Lean Six Sigma para mejorar el proceso de programación y despacho en una empresa comercializadora de concreto premezclado [Tesis]. : Universidad Nacional de Ingeniería; 2017. http://hdl.handle.net/20.500.14076/14762
@misc{renati/709299,
title = "Aplicación de la metodología Lean Six Sigma para mejorar el proceso de programación y despacho en una empresa comercializadora de concreto premezclado",
author = "Palpa Peñaloza, José Luis",
publisher = "Universidad Nacional de Ingeniería",
year = "2017"
}
In the present work it is proposed to reduce the level of losses by applying the Lean Six Sigma methodology as an improvement tool. The phases of definition, measurement, analysis, improvement and control are developed using Lean Manufacturing and Six Sigma tools. In the definition phase the quality house is elaborated, which identifies that the Programming and Dispatch process is critical to satisfy the client's requirements, develops the process diagrams, identifies the main problem of the programming and dispatch area through a matrix of confrontation that considers a series of factors for each of the problems encountered, giving as main problem the high level of losses, develops the Project Charter and the schedule of work. In the measurement phase, the processes prior to the critical process are described, the output variable Y is defined as “punctuality of dispatches“, the input variables X that influence the Y are identified, the critical input variables are identified and evaluated the cost of non-quality. A calibration of the sensors, capacity analysis and process control charts is used to obtain the current state of the process under study. The analysis phase is divided into two groups: process analysis and data analysis. The first group identifies waste and opportunities for improvement through the use of lean manufacturing tools, where an approach is made to the current situation. In the second group, the analysis of variance - ANOVA is performed for each of the variables corresponding to this group, where the “Inadequate programmed travel time“, “Excessive customer TEO“, “Unrealistic client download time” and “Mixer programming with greater than free cycle” are root cause variables that influence the main problem. The improvement phase is divided into two groups: improvements using Lean Manufacturing and Six Sigma tools. In the first group is implemented Methods Study, TPM, JIT and Poka Yoke. In the second group we develop the design of experiments for the four variables that influence the main problem, analyzed in the previous phase. In this way the values of the variables that optimize the value of the level of losses to 0 m3 by puntuality are obtained. The control phase is the last one that is developed and consists of making a control plan to keep the input variables controlled at specified limits and thus maintain the achievements. Finally, the economic evaluation shows the economic benefits achieved after the improvement phase is executed.
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